Transformers How to use dtorber/BioNLP-conditional-prompting-encoder-eLife with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "summarization" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# pip install "transformers<5.0.0"
from transformers import pipeline
pipe = pipeline("summarization", model="dtorber/BioNLP-conditional-prompting-encoder-eLife") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("dtorber/BioNLP-conditional-prompting-encoder-eLife")
model = AutoModelForSeq2SeqLM.from_pretrained("dtorber/BioNLP-conditional-prompting-encoder-eLife", device_map="auto") 
